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Hidden Markov Models in Python, with scikit-learn like API

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hmmlearn is a set of algorithms for unsupervised learning and inference of Hidden Markov Models. For supervised learning learning of HMMs and similar models see seqlearn.

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Dependencies

The required dependencies to use hmmlearn are

  • Python >= 2.6
  • NumPy (tested to work with >=1.9.3)
  • SciPy (tested to work with >=0.16.0)
  • scikit-learn >= 0.16

You also need Matplotlib >= 1.1.1 to run the examples and pytest >= 2.6.0 to run the tests.

Installation

First make sure you have installed all the dependencies listed above. Then run the following command:

pip install -U --user hmmlearn

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Hidden Markov Models in Python, with scikit-learn like API

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